NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
As a Sr. As an Embedded/System SW Engineer, you'll collaborate with SDK developers, firmware developers, networking architects, and domain experts in security, data science, and AI, concentrating on real-time sensor I/O and efficient, reliable data transfer to and from NVIDIA GPUs with minimal latency. This opportunity is unique because you will work on an innovative AI sensor processing platform that connects the physical and digital worlds.
What you’ll be doing:
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Develop applications and features for the Holoscan platform involving GPUs, high bandwidth network acceleration SDK’s, Camera and sensors.
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Architect, design, and develop and benchmark innovative, scalable, performant hardware-accelerated software and high bandwidth sensor streaming systems to run on top of NVIDIA’s Holoscan platform and NVIDIA's GPUs.
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Perform/participate in code reviews and design reviews.
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Engage with strategic customers and partners and internal NVIDIA teams to train, design, build, and productize solutions based on the Holoscan platform.
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Collaborate and coordinate with multi-functional teams of engineers within NVIDIA and its partners to expand the Holoscan ecosystem.
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Follow engineering processes, including writing and refining requirements, engineering design of software architecture, data structures and algorithms, implementation, technical review, documentation, developer testing, verification and validation, and post-launch support.
What we need to see:
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Minimum Bachelor’s degree (or equivalent experience) in Computer Science, Software Engineering, or a related degree with a proven record of delivering products.
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5+ years of proven hands-on experience.
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Excellent software development skills: C/C++ and Python.
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Deep understanding of hardware-software integration and extended experience with ARM and x86 platforms.
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Knowledge of Linux Kernel, Linux Networking stack and RTOS concepts and considerations.
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Background with hands on experience with HW interfaces such as I2C/SPI/USB.
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Knowledge and deep understanding of embedded systems, Remote Direct Memory Access (RDMA) and GPU/CUDA concepts.
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Comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.
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Great teammate with excellent interpersonal and communication skills.
Ways to stand out from the crowd:
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Extensive hands on experience with NVIDIA GPUs and CUDA programming.
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Knowledge and experience of high bandwidth networking protocols, SmartNICs/NIC drivers, Cameras and sensors.
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Background with safety-critical hardware-software integration problems.
We are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous with a real passion for technology we want to hear from you.
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
